Science and Technology

Carsten Marr
Institute of Arts and Society, Cross-Disciplinary Strategies
2025S, scientific seminar (SEW), 4.0 ECTS, 2.0 semester hours, course number S05327

Description

The use of artificial intelligence (AI) is transforming essential aspects of our lives. In biomedical and clinical research, AI models are being trained to perform expert tasks in standardized and automated ways. This development raises not only medical, but also ethical and legislative questions that society must address.

In this course, we will:

  1. Learn fundamental concepts of AI, machine learning, and mathematical modeling.
  2. Study applications of these technologies in biomedicine through current publications.
  3. Collaboratively develop ideas on how to address and present important and controversial topics in this field.

Students will gain comprehensive insights into the possibilities and challenges of AI in biomedicine and develop critical thinking skills regarding the societal impacts of these technologies.

 

Examination Modalities

Participants will be evaluated based on course presence, participation in discussions, and their project presentations

Comments

Please bring your laptops!

Some reading on the topic:

- Eric Topol: Deep Medicine

https://www.newyorker.com/magazine/2019/07/22/the-promise-and-price-of-cellular-therapies

- https://www.science.org/doi/10.1126/science.aax2342

Key Words

biomedicine, artificial intelligence, mathematical models, data analysis, deep neural networks

Dates

05 May 2025, 10:00–16:00 CDS Seminar Room
07 May 2025, 10:00–14:30 KUG Lecture Room PSK 149
08 May 2025, 10:00–16:30 KUG Lecture Room PSK 149
09 May 2025, 10:00–16:00 KUG Lecture Room PSK 149

Course Enrolment

From 03 February 2025, 00:00
Via online registration

Cross-Disciplinary Strategies (Master): Study Areas 1-3: Study Area 2: Science and Technology 569/020.02

Cross-Disciplinary Strategies (Bachelor): Science and Technology: Deepening / Application 700/002.20

Co-registration: possible

Attending individual courses: possible